title: Mode-locking neurodynamics predict human auditory brainstem responses to musical intervals.
abstract: The auditory nervous system is highly nonlinear. Some nonlinear responses arise through active processes in the cochlea, while others may arise in neural populations of the cochlear nucleus, inferior colliculus and higher auditory areas. In humans, auditory brainstem recordings reveal nonlinear population responses to combinations of pure tones, and to musical intervals composed of complex tones. Yet the biophysical origin of central auditory nonlinearities, their signal processing properties, and their relationship to auditory perception remain largely unknown. Both stimulus components and nonlinear resonances are well represented in auditory brainstem nuclei due to neural phase-locking. Recently mode-locking, a generalization of phase-locking that implies an intrinsically nonlinear processing of sound, has been observed in mammalian auditory brainstem nuclei. Here we show that a canonical model of mode-locked neural oscillation predicts the complex nonlinear population responses to musical intervals that have been observed in the human brainstem. The model makes predictions about auditory signal processing and perception that are different from traditional delay-based models, and may provide insight into the nature of auditory population responses. We anticipate that the application of dynamical systems analysis will provide the starting point for generic models of auditory population dynamics, and lead to a deeper understanding of nonlinear auditory signal processing possibly arising in excitatory-inhibitory networks of the central auditory nervous system. This approach has the potential to link neural dynamics with the perception of pitch, music, and speech, and lead to dynamical models of auditory system development.
authors.affiliation: University of Connecticut, Department of Psychology, 406 Babbidge Road, Storrs, CT 06269-1020, USA.
authors.forename: Karl D
authors.initials: KD
authors.lastname: Lerud
authors.affiliation: University of Connecticut, Department of Psychology, 406 Babbidge Road, Storrs, CT 06269-1020, USA.
authors.forename: Felix V
authors.initials: FV
authors.lastname: Almonte
authors.affiliation: University of Connecticut, Department of Psychology, 406 Babbidge Road, Storrs, CT 06269-1020, USA.
authors.forename: Ji Chul
authors.initials: JC
authors.lastname: Kim
authors.affiliation: University of Connecticut, Department of Psychology, 406 Babbidge Road, Storrs, CT 06269-1020, USA. Electronic address: edward.large@uconn.edu.
authors.forename: Edward W
authors.initials: EW
authors.lastname: Large
mesh_terms: D000161:Acoustic Stimulation; D001303:Auditory Cortex / Q000502:physiology; D001307:Auditory Perception / Q000502:physiology; D001933:Brain Stem / Q000502:physiology*; D003051:Cochlea / Q000502:physiology; D017626:Cochlear Nucleus / Q000502:physiology; D016057:Evoked Potentials, Auditory, Brain Stem / Q000502:physiology*; D006309:Hearing / Q000502:physiology*; D006801:Humans; D007245:Inferior Colliculi / Q000502:physiology; D008959:Models, Neurological; D009146:Music; D009474:Neurons / Q000502:physiology; D009991:Oscillometry; D013016:Sound